Historical Crisis Analogue Analysis
Switzerland's current SIGMA profile of 30.0/100 (STABLE regime) is pattern-matched against a database of historical financial crises. The ML similarity engine compares current Minsky phase, leverage ratios, network topology, and NLP divergence against crisis fingerprints from 1997 (Asia), 1998 (EM), 2001 (Argentina), 2008 (GFC), 2010-12 (Eurozone), and 2022 (energy shock).
The SIGMA Engine v5.0 derives this score from eight deterministic analytical layers: metabolic lifecycle entropy (β=0.647, biological age 543 months), structural fragility (Minsky phase: ponzi), NLP narrative divergence (0.0%), network contagion (R₀=0.770, percolation intact), and predictive signals (CSD=50.0, Hawkes λ=0.1000).
Regime probability distribution as of 2026-06-10: stable 34.8% / accumulation 25.4% / critical 23.2% / collapse 16.6%. The Hurst exponent of 0.632 indicates strong trend persistence — risk trajectory statistically likely to deepen.
Active risk signals driving the historical crisis comparison score:
Based on Markov chain transition probability from current STABLE regime. Kairos arbitrage window: 31 days.
Methodology: SIGMA scores are deterministic (identical inputs = identical outputs). Data sources: Federal Reserve FRED, GDELT geopolitical entropy, GLEIF corporate ownership network, Stooq price data. Not financial advice — for informational and research purposes only. Verify predictions: /predictions.